Presentation 2006-03-21
An estimation of order of nonlinear terms from time series in the neutral inversion model
Kazuhiro OGASAWRA, Nobuyuki TAKAHASHI,
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Abstract(in English) In this study, we propose a method to estimate an order of a nonlinear term in nonlinear differential equations. First, we obtain nonlinear differential equations from the neutral inversion model, and show the dependence of time series generated the model on the nonlinear term. Second, to estimate an order of a nonlinear term, we transform the time series into a power spectrum which show a statistical character of a time series. And we cluster them using Self-Organizing Map (SOM) and show an effectivity of our method. Third, we elucidate a region which show that we can estimate an order of nonlinear terms, in a parameter space where the neutral inversion occurs. Last, we show the extensibility of our method.
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Keyword(in English) inverse problem / nonlinear differential equation / nonlinear term / neutral inversion / parametric excitation
Paper # NLP2005-157
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Conference Information
Committee NLP
Conference Date 2006/3/14(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An estimation of order of nonlinear terms from time series in the neutral inversion model
Sub Title (in English)
Keyword(1) inverse problem
Keyword(2) nonlinear differential equation
Keyword(3) nonlinear term
Keyword(4) neutral inversion
Keyword(5) parametric excitation
1st Author's Name Kazuhiro OGASAWRA
1st Author's Affiliation Future University-Hakodate, Graduate School of Systems Information Science()
2nd Author's Name Nobuyuki TAKAHASHI
2nd Author's Affiliation Future University-Hakodate, Graduate School of Systems Information Science
Date 2006-03-21
Paper # NLP2005-157
Volume (vol) vol.105
Number (no) 676
Page pp.pp.-
#Pages 6
Date of Issue